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Transfer Reward Function (TRF) Example
An example of a payout table generated by the Transfer Reward Function.
This is a sample example of the TRF in action and how the rewards and expected outcomes change.
As an example Fluidity provides the following numbers for a $50M reward pool with 80,000 daily fluid transactions, an average gas fee of $3 and six tiers of rewards:
Note: the sending party receives 80% and the receiving party receives 20% of the rewards.
Probability (%) | Reward Received ($) |
|---|---|
42.66 | 0.62 |
15.69 | 1.69 |
2.39 | 11.06 |
0.15 | 176.89 |
3.23e-3 | 8181.33 |
1.41e-5 | 1,865,342.25 |
As can be seen in the example above, over half of all transactions receive 60 cents up to $1.70, one in every 650 transactions receives $180, and four times a year users can receive $1.8M!
If you pay a higher gas fee, you will have a higher expected outcome of winning a larger prize, although this caps at the APY %, so paying an extremely large gas fee does not guarantee a 100% win chance.
What if you were to use a chain that had low transaction fees?
Every event where you send a transaction and there is a difference between senders and receivers in the transaction run all counts in theory as a transaction fee. Let's use Solana as an example.
Setting similar parameters as the previous example with some modifications:
- $50M in the reward pool
- 80K daily fluid TXs
- Solana Gas Fee: $0.00025.\
- Saber $1000 Swap
- Solana Gas Fee: $0.00025 + 0.3% Saber fee = $3 fee.
- Solanart $100 NFT Purchase
- Solana Gas Fee: $0.00025 + 3% Solanart fee = $3 fee.
If you were to do a transaction on top of these protocols will get a similar transaction probability reward metric as above.
So in essence, by doing a Saber trade or purchasing an NFT on Solanart, a user has the same probability of being rewarded millions through Fluid Assets as they do on high gas chains.
Last modified 5mo ago